Community

Home >

Jobs >

Staff Software Engineer, Google Compute Engine, Telemetry Insights

Staff Software Engineer, Google Compute Engine, Telemetry Insights

1 Month ago • 8-13 Years • Data Analyst • Artificial Intelligence

About the job

9 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

reinforcement-learning

data-structures

model-deployment

foundation

google-cloud-platform

innovation

networking

cross-functional

Job Description

Google Compute Engine's Telemetry Insights team seeks a Staff Software Engineer to build and own the technical roadmap for GCE fleet observability and reliability using data-driven analysis. The role requires expertise in AI/ML, driving innovation to meet scaling demands and customer needs. Collaboration with internal teams (SREs, product managers) is crucial, involving defining key metrics, implementing processes, and maintaining SLOs. Responsibilities include establishing data best practices, mentoring team members, and leveraging data to proactively identify opportunities and mitigate risks for GPUs. The ideal candidate possesses extensive experience in software development, testing, design, architecture, and ML infrastructure optimization (model deployment, evaluation, data processing).

Must have:

8+ years software development experience
5+ years testing & launching software
5+ years experience with ML design & optimization
Expertise in AI/ML and data-driven analysis
Strong leadership and collaboration skills

Good to have:

Master's or PhD in related field
Technical leadership experience
Experience in complex, matrixed organizations
Data management expertise (quality, governance, modeling)
Experience with GPUs and driving infrastructure reliability

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
Experience using data to proactively identify opportunities, mitigate risks, and take on the highest quality and reliability for GPUs.
Experience in data management - data quality and data governance, Data architecture and Data modeling.
Experience in driving reliability of large scale infrastructure using data driven insights and Machine learning.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Compute Engine is the foundation of Google Cloud Platform and provides Infrastructure as a Service to Google Cloud customers. GCE Telemetry team plays a critical role in providing customers, the information and tools necessary to understand and improve the overall observability of the compute instances. GCE Telemetry services team collects and stores large scale and real time VM Telemetry data from the entire GCE fleet.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Own and build technical roadmap of GCE fleet observability and reliability based on data driven analysis.
Act as a subject matter expert in AI/ML, driving innovation in GCE observability to meet the demands of our growing scale and customer base.
Partner effectively with internal customers, SREs, product managers, and project managers to align priorities and manage staffing needs.
Define key business metrics and SLOs, and implement robust processes and tools to maintain them. Establish and promote data best practices throughout GCE.
Coach, mentor, and support team members at all levels in their career development.

View Full Job Description

$189.0K - $284.0K/yr (Outscal est.)

$236.5K/yr avg.

Worldwide

Upload your resume, increase your shortlisting chances by 80%

About The Company

Google

1890 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.